Computational and numerical techniques for problem-solving in applied physics. Methods for differential equations, Monte Carlo simulations, and modeling of physical systems (e.g., fluid flows, waves). Programming of neural networks / machine learning to solve problems in engineering and applied science. Implemented in Python.
Term Offered
May Term